SignalMoat  /  Motorsport

AI Assurance and Data Control for Motorsport

Traceable. Reliable. Rapidly Fieldable.

SignalMoat is an inline enforcement layer for the AI now entering the garage. It sits between your AI systems and live execution — checking every proposed action against the rulebook and your own policy before it happens, and writing a tamper-evident record of every decision. Use AI aggressively while proving your rules held and your moat stayed intact.

The Problem

Motorsport is being flooded with AI — real-time strategy engines, digital twins, generative setup tools, and increasingly autonomous vehicles. Three trust gaps have no control layer today:

No governance on what the AI does

A reasoning engine can recommend or trigger an action that breaks the rulebook, is unsafe, or comes from an unvalidated mid-season model update. Nothing enforces the limit before the action, and nothing proves what the AI decided or why.

Shared data runs on the honor system

Allied teams share engineering and simulation while still racing each other. Manufacturers push tools across a stable of teams while guarding IP from rivals. The line between "shared" and "yours" is a handshake — leakage is invisible and unprovable.

Disputes have no tamper-evident record

Penalties, tech inspection, IP claims, and integrity questions rely on records that can be edited or contested.

The stakes only grow

As autonomous and agentic systems reach the track, an unaudited AI decision becomes a safety, competitive, and legal exposure all at once.

The Solution

SignalMoat is the AI assurance control layer for motorsport. It sits inline between any AI system and live execution, intercepts every proposed action, and evaluates it against encoded policy — the rulebook plus your team's own doctrine — returning one of four decisions:

CommitHold for reviewAttenuateRollback

Every decision generates a tamper-evident audit record. The same core can gate model-weight updates, so no unvalidated tool ships mid-season.

The Engine and the Shield

Teams are already buying AI reasoning engines. SignalMoat is not another engine — it is the shield that sits over the one you already run.

The engine finds the maximum performance edge. SignalMoat makes sure that edge never crosses a regulatory line, leaks a secret, or executes a catastrophic logic error. They bring the horsepower; SignalMoat is the guardrail and the black box. That makes it complementary to every AI vendor entering the sport — not a replacement for any of them.

Who It's For

Sanctioning bodies

A neutral assurance and audit layer across the paddock — enforce that teams' AI stays inside the rulebook, keep tamper-evident telemetry and decision records for penalties and appeals, and stay governance-ready as AI and autonomous programs enter the sport.

Manufacturers

Share aero, engine, and AI tooling across your team stable while enforcing — and proving — that IP never crosses to a rival. Govern the AI recommendations flowing to your teams, and gate model updates before they ship.

Alliance teams

Enforce exactly what data flows to a partner and what stays yours, with a tamper-evident log of every access. Collaborate without betting your competitive advantage on trust.

Individual teams

Guardrails on your strategy and setup AI. Every pit, fuel, or tire call is checked against the rulebook and your own policy before it's acted on — with rollback if something's wrong and a full decision trail for post-race review.

Why Now

AI strategy tools, digital twins, and autonomous programs are arriving faster than the governance to control them. The teams and series that add an enforcement layer now will set the terms; the ones that wait will be explaining an AI decision they can't reconstruct.

Proof & Readiness

10/10 validation

Validated on NVIDIA H100 80GB HBM3. Qualified evaluators can reproduce the results independently on the documented configuration.

TRL 5

Validated in a relevant environment, with a modular open architecture designed for integration.

Series-agnostic

The same layer serves stock cars, sports cars, open-wheel, and autonomous racing — anywhere AI meets competition and safety.

Ready to Talk?

SignalMoat's enforcement technology — validated on NVIDIA H100 infrastructure with a 10/10 test result — is available for license or partnership. A portfolio of patents pending covers the core transformation and enforcement logic.

Tom Acklam  |  SignalMoat Holdings LLC
(435) 301-6863  |  www.signalmoat.ai
SignalMoat Holdings LLC  |  Patents Pending — U.S. Application Nos. 19/573,234 and related applications

SignalMoat

AI Assurance and Controlled Deployment

Traceable. Reliable. Rapidly Fieldable.

SignalMoat is an inline AI enforcement control layer for autonomous and agentic systems. It intercepts proposed agent actions before execution, evaluates them against doctrine, and stops unauthorized or unsafe behavior while generating a tamper-evident audit trail.Available for commercial license or acquisition by established DoD program partners.

The Problem

DoD AI systems currently lack an effective pre-deployment control layer.CDAO’s military medicine assurance pilot identified 800+ findings of potential vulnerabilities and biases. This control gap is growing across priority DoD AI efforts, creating risks of authority failures, unvalidated model updates, and missing causal attribution for audits.

DoD Mission Alignment

SignalMoat directly supports key priorities in the 2026 DoD AI Strategy:

  • • Agentic Battle Management (Agent Network PSP)

  • • War Data Platform Audit Integrity (Advana transformation)

  • • Military Medicine AI Assurance

  • • Enterprise Agent Deployment

The Solution

SignalMoat is the AI Assurance Control Layer.It sits inline between any AI system and live execution. It intercepts every proposed agent action intent, evaluates it against encoded doctrine, and returns one of four enforcement decisions: commit, hold for review, attenuate, or rollback.Every decision generates a tamper-evident audit record.
The same core can also gate model-weight updates as a secondary capability.JATIC tests. The RAI Toolkit documents and guides. SignalMoat enforces inline decisions.

Validated Proof

10/10 Validation — April 14, 2026 on NVIDIA H100 80GB HBM3All tests passed, including Commit, Review, Attenuate, Rollback, Bridge Risk, Doctrine Sensitivity, and more.Qualified evaluators can reproduce these results independently on the documented H100 configuration.

Readiness

Prepared for Tradewinds Evaluation — Functional Prototype Available Now• TRL 5 — Validated in a relevant environment
• Modular open architecture designed for integration
• Containerized evaluation suite (full end-to-end testing in final validation)
• Currently operating in unclassified environments with a defined pathway to IL5 and classified deployment through DoD partners

Ready to Talk?

The enforcement technology demonstrated in this submission - validated on NVIDIA H100 infrastructure with a 10/10 test result - is available for acquisition or exclusive license by an established DoD program partner.A portfolio of patents pending covers the core transformation and enforcement logic.We are ready to demonstrate.Contact
Tom Acklam | SignalMoat Holdings LLC
[email protected] | (435) 301-6863 | www.signalmoat.ai

SignalMoat Holdings LLC | Patents Pending
U.S. Application Nos. 19/573,234 and related applications